文献类型：期刊文献

英文题名：Analysis of cyberspace security situational awareness based on fuzz reason

作者：Xiao, Haidong[1]; Chen, Ning[2]

机构：[1] Sino-Us Globe Logistics Institute, Antai College of Economics and Management, Shanghai Jiaotong University, Shanghai, 200030, China; [2] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200030, China

年份：2011

起止页码：316

外文期刊名：Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011

收录：EI(收录号：20113814347682)

语种：英文

外文关键词：Risk assessment - Learning systems

摘要：Fuzzy reasoning analysis (FRA) is known as a mathematical programming approach to strong nonlinear system prediction,In this paper,the design and implementation of a fuzzy reasoning based cyberspace security awareness model is presented. The new feature of the this method is that it can give better perception and projection of cyberspace security situational. We show that this new method, referred to as machine learning situational awareness analyses, is efficient in situational perceiving, main contribution of this paper is to further integration of the fuzzy reasoning and situational risk control strategies to cyberspace security analysis. ? 2011 IEEE.